Semantic Distances for Technology Landscape Visualization
Wei Lee Woon
Masdar Institute of Science and Technology (MIST)
Massachusetts Institute of Technology (MIT) - Sloan School of Management
November 1, 2011
MIT Sloan Research Paper No. 2011-10
This paper presents a novel approach to the visualization of research domains in science and technology. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information regarding trends and patterns of publication rather than the actual content. In particular, we explore the use of term co-occurrence frequencies as an indicator of semantic closeness between pairs of terms. To demonstrate the utility of this approach, a number of visualizations are generated for a collection of renewable energy related keywords. As these keywords are regarded as manifestations of the associated research topics, we contend that the proposed visualizations can be interpreted as representations of the underlying technology landscape.
Number of Pages in PDF File: 32
Keywords: Data Mining, Technology Forecasting, Clustering, Semantic Distanceworking papers series
Date posted: March 13, 2014
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